Triple
T13278339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillingen district |
E316249
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Gundelfingen an der Donau |
E789105
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gundelfingen an der Donau | Statement: [Dillingen district, containsMunicipality, Gundelfingen an der Donau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gundelfingen an der Donau Context triple: [Dillingen district, containsMunicipality, Gundelfingen an der Donau]
-
A.
Gundelfingen an der Donau
chosen
Gundelfingen an der Donau is a small Bavarian town in southern Germany situated on the Danube River.
-
B.
Gundelfingen
Gundelfingen is a municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
-
C.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
-
D.
Truchtelfingen
Truchtelfingen is a former independent locality in Baden-Württemberg, Germany, that now forms part of the town of Albstadt.
-
E.
Vilshofen an der Donau
Vilshofen an der Donau is a Bavarian town on the Danube River known for its historic old town and role as a regional commercial and cultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99043fba88190872ede6f63e2fbcb |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a56fa048190b32dcef31b978d9c |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.